Hi all,
I have a question about the interpretation of my results, regarding a moderator in an ologit regression.
My IV is 'green attitude', my DV is 'greenbuying' and my moderator is 'ecolabel trust'. Control variables are age and gender.
![]()
anew=attitude (towards green products), and can be:
- zero
- low
- medium
- high
gnew= greenbuying (how often you buy green products), and can be:
-1 - never
-2
-3
-4
-5
-6 - every day
tnew=ecolabel trust, and can be:
- zero
- low
- medium
- high
My regression results are:
I have two questions about this:
My current interpretation is this:
The coefficient of low trust X med attitude is negative and significant at the 5% level. This entails that med attitude has a stronger negative effect on green buying when trust is low compared to when trust is zero.
Is this correct?
Should I form three hypotheses to test for this moderator?
1. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact not very important (attitude = low)
2. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact fairly important (attitude = med)
3. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact very important (attitude = high)
Is it correct that I need 3 seperate hypotheses as attitude can have 4 values?
It would greatly help me if someone can tell me if I am on the right track! I am struggling a bit with moderation in combination with an ologit regression and two categorical variables as I've never done this before. Any help is greatly appreciated!
Kind regards,
Joris
I have a question about the interpretation of my results, regarding a moderator in an ologit regression.
My IV is 'green attitude', my DV is 'greenbuying' and my moderator is 'ecolabel trust'. Control variables are age and gender.
anew=attitude (towards green products), and can be:
- zero
- low
- medium
- high
gnew= greenbuying (how often you buy green products), and can be:
-1 - never
-2
-3
-4
-5
-6 - every day
tnew=ecolabel trust, and can be:
- zero
- low
- medium
- high
My regression results are:
Code:
. ologit gnew tnew##anew age i.gender
Iteration 0: log likelihood = -28944.057
Iteration 1: log likelihood = -27348.317
Iteration 2: log likelihood = -27259.086
Iteration 3: log likelihood = -27251.011
Iteration 4: log likelihood = -27251.01
Ordered logistic regression Number of obs = 24,623
LR chi2(17) = 3386.09
Prob > chi2 = 0.0000
Log likelihood = -27251.01 Pseudo R2 = 0.0585
------------------------------------------------------------------------------
gnew | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
tnew |
2 | 1.052075 .2152138 4.89 0.000 .630264 1.473887
3 | 1.304467 .217954 5.99 0.000 .8772846 1.731649
4 | .8888412 .2646973 3.36 0.001 .370044 1.407638
|
anew |
2 | 1.321674 .2067314 6.39 0.000 .9164875 1.72686
3 | 2.480465 .1951027 12.71 0.000 2.098071 2.862859
4 | 2.955394 .1982461 14.91 0.000 2.566839 3.343949
|
tnew#anew |
low low | -.4183916 .251595 -1.66 0.096 -.9115087 .0747256
low med | -.5871072 .2375724 -2.47 0.013 -1.052741 -.1214739
low high | -.4778066 .2409796 -1.98 0.047 -.950118 -.0054952
med low | -.3663611 .2526495 -1.45 0.147 -.8615449 .1288228
med med | -.5181469 .2386876 -2.17 0.030 -.9859659 -.0503279
med high | -.2446669 .2413479 -1.01 0.311 -.7177002 .2283663
high low | .0376205 .3112913 0.12 0.904 -.5724993 .6477403
high med | -.0507737 .286457 -0.18 0.859 -.612219 .5106716
high high | .2414048 .2865594 0.84 0.400 -.3202413 .8030509
|
age | .0080733 .0007564 10.67 0.000 .0065907 .0095559
|
gender |
Female | .0491804 .0256802 1.92 0.055 -.0011519 .0995128
-------------+----------------------------------------------------------------
/cut1 | .1818974 .1740457 -.1592259 .5230208
/cut2 | .5712073 .1741778 .2298251 .9125895
/cut3 | 1.381783 .1747356 1.039307 1.724258
/cut4 | 1.808177 .174998 1.465188 2.151167
/cut5 | 4.742743 .1766713 4.396473 5.089012
------------------------------------------------------------------------------
My current interpretation is this:
The coefficient of low trust X med attitude is negative and significant at the 5% level. This entails that med attitude has a stronger negative effect on green buying when trust is low compared to when trust is zero.
Is this correct?
Should I form three hypotheses to test for this moderator?
1. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact not very important (attitude = low)
2. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact fairly important (attitude = med)
3. The relationship between attitude and behaviour is mediated by trust in eco-labels for consumers rating environmental impact very important (attitude = high)
Is it correct that I need 3 seperate hypotheses as attitude can have 4 values?
It would greatly help me if someone can tell me if I am on the right track! I am struggling a bit with moderation in combination with an ologit regression and two categorical variables as I've never done this before. Any help is greatly appreciated!
Kind regards,
Joris